广西刁江流域主要河流水质评价

为研究广西刁江水质污染现状, 从刁江流域上游到下游共设置 9 个水质监测断面。于 2013 年 12 月-2014 年 12月对河流的 pH、溶解氧、高锰酸盐指数、叶绿素 a、总氮、总磷、氨氮、硝酸盐氮、亚硝酸盐氮、正磷酸盐、重金属(砷、铅、镉、汞、铬)水质指标进行监测。采用单因子和综合污染指数对刁江水质进行评价, 同时开展水体富营养化评价。单因子污染指数评价结果表明刁江流域主要污染物为总氮和砷。综合污染指数评价结果表明刁江流域水质整体较好, 但上游的平村河污染较严重。从时间分布来看, 秋季水质最差, 冬季较好。从营养化状态指数来看, 平村河为中度富营养化状态, 其余河流为中营养状态, 富营养化程度呈现春夏高, 冬季低的特点。对评价结果进行主成分分析, 结果表明刁江流域总氮最大的贡献者可能来源于居民的生活污水。     

东莞市东部工业园水生态环境质量评价

对东莞市东部工业园水系的浮游藻类、浮游动物、底栖生物和水质物理化学指标进行调查和评价.3个断面共监测到浮游藻类6门56属71种;浮游动物3个门共14种;底栖动物5种.利用叶绿素a、藻类数量单项指标、生物多样性指数和水质的理化指标对水系各断面水质进行综合评价,结果显示:东引运河横沥断面和企石排污口断面水体属于中度污染,而常平排污口断面污染严重且存在较强的非营养型污染:河流沉积物污染较水体污染严重;对水体的理化污染监测分析结果与生态评价相吻合,生态评价具有较好的准确性和灵敏性.因此,工业园区的建设与运营应严格做好废水的处理工作,有效保护工业园区水系的生态环境.     

黄河兰州段水质污染监测分析

采用单因子标准指数法确定水期和断面污染类型,用综合污染指数和污染负荷比法判断水期和断面的相对污染程度。根据2005～2009年各断面24项化学指标单因子评价,研究结果表明,上游扶河桥、新城桥断面水质较好,各评价因子5年平均值均未超过地面水二类标准,属Ⅱ类水质;湟水桥、包兰桥、什川桥断面轻度污染,各评价因子5年平均值均未超过地面水三类标准,属Ⅲ类水质。断面污染负荷比依次为:包兰桥23.38%>什川桥21.85%>湟水桥21.18>新城桥18.35%>扶河桥15.18%。     

基于大型底栖无脊椎动物群落的上海市河道水质生物学评价

2011年夏秋季,在上海市全境83个河道断面开展了大型底栖无脊椎动物采样,共获取底栖动物20个分类单位(种).9个极严重污染断面未采集到活体大型底栖生物,生境基本丧失.其余74个有活体生物断面,采用三种常用生物指数:Shannon-Wiener多样性指数、Hilsenhoff耐污指数、Goodnight修正指数分别进行计算及评价.Shannon-Wiener多样性指数判别为25个严重污染和49个重污染断面;Hilsenhoff耐污指数划分38个重污染、5个中污染和31个轻污染断面;Goodnight修正指数划分33个重污染、2个中污染和39个轻污染断面.与典型河道断面的水质理化指标监测值进行对照,Shannon-Weiner多样性指数对河道水质评价的准确度较低,Hilsenhoff生物指数和Goodnight修正指数的水质评价效率及准确度均较高,断面污染等级与水质理化指标基本对应.     

汕头港水质的模糊综合评价

根据2009年4月至2010年3月对汕头港6个断面的连续调查所得数据, 以溶解无机氮(DIN)、活性磷酸盐(PO4–P) 、溶解氧(DO)、化学需氧量(COD)、硫化物和悬浮物作为海水水质评价指标, 应用模糊综合评价法与多元尺度分析法对汕头港水质的时空变化进行评价。结果表明, 汕头港全年各断面水质均为Ⅳ类, 主要污染因子均是DIN和PO4–P。空间上, 海湾西部污染程度明显比东部严重, 尤其是西港河口因水动力学条件差污染最为严重。时间上, 水质变化无明显季节性变化特征, 其中, 4月、5月与7月这三个月的水质明显好其他各月。汕头港水质与盐度呈明显的正相关(r=0.644)表明径流输入是汕头港主要污染来源。     

基于大型底栖动物群落的上海市河道水质生物学评价

2011年夏秋季,在上海市全境83个河道断面开展了河道底栖动物采样,共获取底栖动物20个分类单位（种）。9个极严重污染断面未采集到活体生物,生境基本丧失。其余74个有活体生物断面,采用三种常用生物指数：Shannon-Wiener多样性指数、Hilsenhoff耐污指数、Goodnight修正指数分别进行计算及评价。Shannon-Wiener多样性指数判别为25个严重污染和49个重污染断面;Hilsenhoff耐污指数划分38个重污染、5个中污染和31个轻污染断面;Goodnight修正指数划分33个重污染、2个中污染和39个轻污染断面。与典型河道断面的水质理化指标监测值进行对照,Shannon-Weiner多样性指数对河道水质评价的准确度较低,Hilsenhoff生物指数和Goodnight修正指数的水质评价效率及准确度均较高,断面污染等级与水质理化指标基本对应。     

层次分析法对南水北调中线水源区的水质评价

层次分析法(AHP)是一种多指标多因素综合评价法,其理论内容深刻而表现形式简单,包括递阶层次结构模型、判断矩阵的建立及其求值、一致性检验和综合指数计算等运算过程.在南水北调中线水源区3个采样点进行了2a的水体浮游植物和9项理化指标的检测,并应用层次分析法通过季节4因素和6项理化指标对水质进行综合评价.结果表明:层次分析综合指数PI在3采样点有差异并且变化灵敏,渠首 (陶岔S1 ) PI=0.5697,水质属于污染;库心 (小太平洋S2 ) PI=0.3619,水质属于尚清洁;丹江入库上游 (大石桥S3 ), PI=0.7755,水质属于中污染;AHP分析结果与实际基本相符.根据结果分析认为:层次分析法做为综合评价法对水质评价有重要性,值得推广应用;丹江口水库是重要的水资源,但目前水质状况并不理想,因此做好水源区的长期生态监测,加强理论和技术研究,改善水质,极为重要.     

安康水库表层浮游藻类群落结构及其与环境因子的关系

为了解安康水库表层水质与浮游藻类群落现状以及浮游藻类群落结构与环境因子之间的关系,于2012年1—12月对水库表层水进行每月一次的采样,分别对浮游藻类分布状况和理化因子进行分析.利用Shannon指数(H)和Pielou均匀度指数(J)分析浮游藻类群落特征,根据理化指标和综合营养状态指数(TSI)评价水体营养状态.共检测到浮游藻类7门110属,丰度为0.11×10⁴～2.08×10⁴ cells·L^-1.藻类组成、污染指示种分布情况、多样性分析和TSI显示安康水库表层属于中污染水质,处于中营养状态.此外,高密度投饵水产养殖及生活污水直接排放入库对水质产生负面影响,支流岚河的水质状况也较差.典范对应分析(CCA)结果显示,测定的8个环境因子中,不同季节影响浮游藻类群落组成及分布的环境因子不同,且氮是影响浮游藻类组成的主要营养盐因子.理化指标分析显示,安康水库表层水大体满足Ⅱ类水标准,水质良好.但部分采样点的总氮出现差于Ⅱ类水标准的现象,表明安康水库水质有变差的趋势.     

贵州疣螈栖息地水质评价

为探明贵州疣螈(Tylototriton kweichowensis)栖息地的水质状况及影响其栖息地选择的环境因子,于2019年5月、8月和10月分别对毕节市撒拉溪石漠化综合治理区7个分布点、2个对照点的水温、pH、DO、TN、TP、NH_3-N和CODMn、Cu、Hg、Pb、Cr、Cd、Mn、Zn、As等理化指标进行了测定,并运用单因子评价法和内梅罗综合污染指数评价法对水质进行评价。结果表明:9个采样点中3个样点的水质类别为Ⅲ类,污染程度为警戒水平; 1个样点为Ⅳ类,受到轻度污染; 5个样点为劣Ⅴ类,受到重度污染;超标指标有pH、DO、TN、TP、NH_3-H、CODMn和Mn,其中TN和NH_3-N是造成水环境水质差的主要指标;通过两组对照点环境因子对比,在被测指标中,水温和pH值是影响贵州疣螈栖息地选择较大的环境因子,水温低于13℃或pH6的水体不适于贵州疣螈生存。     

南水北调中线水源区浮游植物时空分布及其营养状态

2004年3月-2006年5月,在南水北调中线水源区选择4个监测点进行了7次采样,获取了表层浮游植物和水质理化指标数据,采用污水生物系统法、营养状态指数法和单因子评价法综合评价了水源区的营养状态.结果表明:中线水源区浮游植物群落具有明显的时空变异性;浮游植物共有8门67属161种(含变种),硅藻占39%,污染指示种21属24种(含变种),β-中营养型占污染指示种的38%;在检出的浮游植物中未发现水体重污染指示种;水源区叶绿素a质量浓度为0.00425 mg·m-3,营养状态指数为0.0001;除总氮外,其他理化检测指标均符合Ⅰ类水质标准;综合评价水源区处于中营养状态.本研究可为中线水源区长期生态研究数据信息库的建立及库区环境保护政策的制定提供科学依据.     

广东省水质现状及驱动因素

水质现状评估及其驱动因素分析是实现水生态保护、水资源利用和水污染治理的关键,对于水生态系统的可持续发展具有重要意义。以广东省七大流域为研究区,基于2019-2020年间的溶解氧（DO）、透明度（SDD）、悬浮物（SPM）、叶绿素a （Chla）、氨氮（NH₃N）、总氮（TN）、总磷（TP）7个指标的水质监测数据,综合运用单因子指数法（SI）和综合水质指数（WQI）评价方法,分丰水期（N=66）和枯水期（N=54）评估研究区的水质现状,并探讨水质参数与地形、气象、社会经济和土地覆被类型等驱动因素之间的相关关系。SI评估结果显示广东七大流域主要以工业污水、农业面源等造成的Chla和TN浓度超标、部分水体富营养化严重为主,同时伴有溶解氧浓度偏低的问题;WQI评估结果显示研究区有57%以上的采样点属于中等以下水质。Chla、SPM、NH₃N和TP浓度具有显著的季节和驱动因素差异：丰水期的Chla和TP浓度低于枯水期,但SPM和NH₃N浓度高于枯水期。枯水期DO、TN和WQI的显著性影响因子为丰水期的1/3左右;这种季节差异可能是流域内降雨、营养盐负荷和土地覆被类型导致的复杂地表径流及面源污染所致。珠江三角洲河网区、粤西诸河、韩江下游以及粤东诸河练江流域的水质问题突出。未来水生态系统的可持续发展研究可以借助长时间序列、多频次、高分辨率的遥感监测手段和多种数值模拟方法以及常规水质评估模型,探讨气候变化、河岸带产业结构和流域土地利用方式对面源污染的影响,以进一步厘清降雨强度、三产结构和土地利用方式转变对区域水质变化的影响。     

Deforestation and sewage effects on aquatic macroinvertebrates in urban streams in Manaus,Amazonas, Brazil

In the last few years, awareness in developed countries has increased regarding the importance of urban watercourses as essential natural resources for human well being. Macroinvertebrates have been used as bioindicators to complement physico-chemical evaluation of water quality after environmental perturbations. The city of Manaus is closely associated with the Amazonian rain forest and with its dense hydrographic network. Any perturbation, such as deforestation and/or water pollution in the city’s streams, therefore causes changes in the local ecosystem as the population increases. In this study, 65 streams were sampled in October and November 2003. Samples were taken from stream-bed sediment in the center of the channel and litter/sediment at the edge of the stream. Deforestation, total Nitrogen (TN), total Phosphorus (TP), depth, width, electrical conductivity, temperature and dissolved Oxygen (DO) were measured. A total of 115,549 specimens were collected, distributed among 152 taxa. Oligochaeta, Chironomus, Psychodidae and Ceratopogonidae were the taxa with the greatest frequencies of occurrence and the highest total abundances. Higher deforestation, TN and TP were correlated with lower DO and greater electrical conductivity, pH and water temperature. Deforestation, TN and TP were not associated with water velocity and stream width. Depth was the only variable correlated (negatively) with deforestation and not correlated with TN and TP. Greater deforestation, TN and TP were correlated with lower richness of taxa; but these variables did not affect abundance. Canonical Correspondence Analysis ordenated the streams into two groups; the majority of the streams were in the group with high levels of deforestation and with high values of TP, TN, pH, electrical conductivity and temperature, where the macroinvertebrates were reduced to a few taxa. The other group was composed of streams that were well oxygenated and deep, where richness of taxa was higher. These results indicate changes in community composition in response to changes in environmental conditions. The highest taxa correlation was with streams that were well oxygenated and had the greatest depth and water velocity. Species Indicator Analysis identified 29 taxa as indicators of nonimpacted streams, 16 as indicators of deforested streams and three as indicators of streams impacted by deforestation and domestic sewage. Of the total sampled streams, 80% were impacted by deforestation and water pollution and had fauna tolerant of these perturbations. Water pollution, represented by TN and TP, affected the macroinvertebrate fauna in a way similar to deforestation, i.e., causing reduction in taxa richness, simplifying the insect community composition without changing abundance. Use of the taxa suggested in this study as environmental indicators could improve the evaluation of water quality in the streams in Central Amazonia. Electronic supplementary material Electronic supplementary material is available for this article at and accessible for authorised users. Handling editor: D. Dudgeon     

Assessment of Water Quality and Identification of Polluted Risky Regions Based on Field Observations & GIS in the Honghe River Watershed,China

Water quality assessment at the watershed scale requires not only an investigation of water pollution and the recognition of main pollution factors, but also the identification of polluted risky regions resulted in polluted surrounding river sections. To realize this objective, we collected water samplings from 67 sampling sites in the Honghe River watershed of China with Grid GIS method to analyze six parameters including dissolved oxygen (DO), ammonia nitrogen (NH₃-N), nitrate nitrogen (NO₃-N), nitrite nitrogen (NO₂-N), total nitrogen (TN) and total phosphorus (TP). Single factor pollution index and comprehensive pollution index were adopted to explore main water pollutants and evaluate water quality pollution level. Based on two evaluate methods, Geo-statistical analysis and Geographical Information System (GIS) were used to visualize the spatial pollution characteristics and identifying potential polluted risky regions. The results indicated that the general water quality in the watershed has been exposed to various pollutants, in which TP, NO₂-N and TN were the main pollutants and seriously exceeded the standard of Category III. The zones of TP, TN, DO, NO₂-N and NH₃-N pollution covered 99.07%, 62.22%, 59.72%, 37.34% and 13.82% of the watershed respectively, and they were from medium to serious polluted. 83.27% of the watershed in total was polluted by comprehensive pollutants. These conclusions may provide useful and effective information for watershed water pollution control and management.     

大汶河水生态环境健康状况与土地利用的相关性

为了解大汶河水生态环境现状及河岸带土地利用类型对其影响,基于2017年4月大汶河流域水生态调查数据,采用主成分分析和相关分析方法对流域地形、水文、水环境因子、主要水生生物因子和栖息地质量5个方面共19个候选指标进行筛选和优化,构建了大汶河生态系统健康评价多指标体系并用于大汶河水生态健康评价。结果表明:水环境因子和水生生物类型指标在健康评价指标体系中所占权重较大;大汶河水生态系统健康状况评价结果主要以一般和较差为主,分别占总采样点的58.33%和20.83%,仅瀛汶河上段、大汶河南支上段和大汶河干流下段部分断面处于健康或亚健康水平;城镇村及工矿用地、耕地和交通用地与大汶河生态健康综合指数呈负相关,是该流域水生态系统受到破坏的主要因素。     

Effects of Land Use,Topography and Socio-Economic Factors on River Water Quality in a Mountainous Watershed with Intensive Agricultural Production in East China

Understanding the primary effects of anthropogenic activities and natural factors on river water quality is important in the study and efficient management of water resources. In this study, analysis of Variance (ANOVA), Principal component analysis (PCA), Pearson correlations, Multiple regression analysis (MRA) and Redundancy analysis (RDA) were applied as an integrated approach in a GIS environment to explore the temporal and spatial variations in river water quality and to estimate the influence of watershed land use, topography and socio-economic factors on river water quality based on 3 years of water quality monitoring data for the Cao-E River system. The statistical analysis revealed that TN, pH and temperature were generally higher in the rainy season, whereas BOD₅, DO and turbidity were higher in the dry season. Spatial variations in river water quality were related to numerous anthropogenic and natural factors. Urban land use was found to be the most important explanatory variable for BOD₅, COD_Mn, TN, DN, NH₄ ⁺-N, NO₃ ⁻-N, DO, pH and TP. The animal husbandry output per capita was an important predictor of TP and turbidity, and the gross domestic product per capita largely determined spatial variations in EC. The remaining unexplained variance was related to other factors, such as topography. Our results suggested that pollution control of animal waste discharge in rural settlements, agricultural runoff in cropland, industrial production pollution and domestic pollution in urban and industrial areas were important within the Cao-E River basin. Moreover, the percentage of the total overall river water quality variance explained by an individual variable and/or all environmental variables (according to RDA) can assist in quantitatively identifying the primary factors that control pollution at the watershed scale.     

北京市妫水河浮游动物群落结构与水质评价

由于浮游动物对水体环境变化敏感,可表征水体污染程度,因此在2017年对妫水河浮游动物群落结构进行调查研究,分析了浮游动物群落结构时空变化特征及其与环境因子的关系,并利用生物学评价方法对水质进行评价。结果表明:妫水河浮游动物有4门22属88种,其中原生动物种类最多,为42种,主要以轮虫和原生动物为主,浮游动物平均细胞密度和生物量分别为5041.58个/L和2.88 mg/L。浮游动物群落结构与环境因子的CCA分析显示,水温、pH、DO和氨氮是影响妫水河浮游动物群落结构变化的重要因素,其中裂痕龟纹轮虫、冠饰异尾轮虫和螺形龟甲轮虫等对水体中氮磷的相关性极为显著,具有富营养化指示作用,可作为监测水质的指示生物。妫水河浮游动物多样性指数H、均匀度指数J和丰富度指数D全年平均值分别为0.43、0.31和0.41,整体评价结果显示,妫水河水体处于中到富营养型水平,尤其是下段城区段污染严重,表明妫水河水体生态功能遭到破坏,水质还需进一步改善和治理。本研究结果可为妫水河水质评价、水环境监测及水污染治理提供基础数据资料和理论依据。     

基于氮磷比解析太湖苕溪水体营养现状及应对策略

生态化学计量学是评价水体营养状态的重要手段,利用其氮磷比指标探讨了我国太湖主要入湖河流苕溪的营养状态。野外监测结果显示,苕溪水体氮素超标严重,磷素污染轻度,硝酸盐、颗粒态磷为氮磷的主要赋存形态,且氮磷浓度呈现相似的季节变化规律,表明苕溪主要受农业面源污染影响。氮磷比分析表明,苕溪水体春、秋季处于磷素限制状态,夏季适合藻类生长,冬季低温条件下不利于藻类的大量繁殖;苕溪生物量增长受磷素限制,线性拟合亦显示其氮磷比主要受磷素波动的调控;苕溪干流大面积暴发蓝藻水华的风险较部分支流及死水区低,苕溪水入湖后,特别是夏季其暴发风险将显著提高。针对苕溪水体的富营养化现状,提出若干条水质改善应对策略。     

珠江河口区大型底栖动物群落结构

河口区大型底栖动物具有的重要群落特征往往可以反映群落所经历的环境污染。为更好地了解珠江河口区大型底栖动物群落结构, 作者于2014年11月至2015年8月进行了4个季度的大型底栖动物调查, 并利用PRIMER 6.0软件进行群落生物多样性指数计算、群落等级聚类(Cluster)和非度量多维标度排序(nMDS)分析。研究结果显示: 珠江河口区共获得大型底栖动物52种, 优势种包括光滑河篮蛤(Potamocorbula laevis)、中国绿螂(Glaucomya chinensis)、焦河篮蛤(Potamocorbula ustulata)和羽须鳃沙蚕(Dendroneris pinnaticirrus)。大型底栖动物年平均密度为269.3 ind./m ², 年平均生物量为129.61 g/m ²。12个站次的丰富度指数(D)、均匀度指数(J')和Shannon-Wiener多样性指数(H')平均值分别为1.81 ± 1.38、0.50 ± 0.27和1.60 ± 1.13。该结果显示除P01断面的秋季和冬季环境质量为优良外, 其他站位在不同季度都显示出轻度到重度的污染。Cluster聚类分析和nMDS标序结果表明, P01断面与P02和P03断面群落相似度较低, 与断面地理分布情况一致; P02断面和P03断面存在交叉聚集, 群落相似度较高。结合环境因子结果可知, 沉积物理化因子与群落分布特征相关性较大, 其中最能解释珠江河口区群落多样性分布特征的环境因子为盐度和pH值。